{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>Total Trade Quantity</th>\n",
       "      <th>Turnover (Lacs)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-01-01</td>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1262.30</td>\n",
       "      <td>1264.15</td>\n",
       "      <td>254790.0</td>\n",
       "      <td>3220.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013-01-02</td>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1262.95</td>\n",
       "      <td>1263.30</td>\n",
       "      <td>940123.0</td>\n",
       "      <td>11885.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013-01-03</td>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1282.90</td>\n",
       "      <td>1280.60</td>\n",
       "      <td>1317565.0</td>\n",
       "      <td>16821.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013-01-04</td>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>1299.20</td>\n",
       "      <td>2614380.0</td>\n",
       "      <td>33794.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2013-01-07</td>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1295.00</td>\n",
       "      <td>1294.85</td>\n",
       "      <td>910376.0</td>\n",
       "      <td>11799.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date     Open    High      Low     Last    Close  \\\n",
       "0  2013-01-01  1266.95  1267.9  1260.00  1262.30  1264.15   \n",
       "1  2013-01-02  1267.00  1272.4  1255.55  1262.95  1263.30   \n",
       "2  2013-01-03  1265.00  1284.0  1259.95  1282.90  1280.60   \n",
       "3  2013-01-04  1285.00  1301.0  1280.90  1299.00  1299.20   \n",
       "4  2013-01-07  1300.00  1304.0  1290.25  1295.00  1294.85   \n",
       "\n",
       "   Total Trade Quantity  Turnover (Lacs)  \n",
       "0              254790.0          3220.75  \n",
       "1              940123.0         11885.37  \n",
       "2             1317565.0         16821.01  \n",
       "3             2614380.0         33794.17  \n",
       "4              910376.0         11799.61  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd \n",
    "\n",
    "df = pd.read_csv('tcs_stock_2018-05-26.csv')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Last</th>\n",
       "      <th>Close</th>\n",
       "      <th>Total Trade Quantity</th>\n",
       "      <th>Turnover (Lacs)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1262.30</td>\n",
       "      <td>1264.15</td>\n",
       "      <td>254790.0</td>\n",
       "      <td>3220.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-02</th>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1262.95</td>\n",
       "      <td>1263.30</td>\n",
       "      <td>940123.0</td>\n",
       "      <td>11885.37</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-03</th>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1282.90</td>\n",
       "      <td>1280.60</td>\n",
       "      <td>1317565.0</td>\n",
       "      <td>16821.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-04</th>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.00</td>\n",
       "      <td>1299.20</td>\n",
       "      <td>2614380.0</td>\n",
       "      <td>33794.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-07</th>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1295.00</td>\n",
       "      <td>1294.85</td>\n",
       "      <td>910376.0</td>\n",
       "      <td>11799.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open    High      Low     Last    Close  Total Trade Quantity  \\\n",
       "Date                                                                           \n",
       "2013-01-01  1266.95  1267.9  1260.00  1262.30  1264.15              254790.0   \n",
       "2013-01-02  1267.00  1272.4  1255.55  1262.95  1263.30              940123.0   \n",
       "2013-01-03  1265.00  1284.0  1259.95  1282.90  1280.60             1317565.0   \n",
       "2013-01-04  1285.00  1301.0  1280.90  1299.00  1299.20             2614380.0   \n",
       "2013-01-07  1300.00  1304.0  1290.25  1295.00  1294.85              910376.0   \n",
       "\n",
       "            Turnover (Lacs)  \n",
       "Date                         \n",
       "2013-01-01          3220.75  \n",
       "2013-01-02         11885.37  \n",
       "2013-01-03         16821.01  \n",
       "2013-01-04         33794.17  \n",
       "2013-01-07         11799.61  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 将date 字段设置为索引\n",
    "df = df.set_index('Date')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01</th>\n",
       "      <td>1266.95</td>\n",
       "      <td>1267.9</td>\n",
       "      <td>1260.00</td>\n",
       "      <td>1264.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-02</th>\n",
       "      <td>1267.00</td>\n",
       "      <td>1272.4</td>\n",
       "      <td>1255.55</td>\n",
       "      <td>1263.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-03</th>\n",
       "      <td>1265.00</td>\n",
       "      <td>1284.0</td>\n",
       "      <td>1259.95</td>\n",
       "      <td>1280.60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-04</th>\n",
       "      <td>1285.00</td>\n",
       "      <td>1301.0</td>\n",
       "      <td>1280.90</td>\n",
       "      <td>1299.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-07</th>\n",
       "      <td>1300.00</td>\n",
       "      <td>1304.0</td>\n",
       "      <td>1290.25</td>\n",
       "      <td>1294.85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               Open    High      Low    Close\n",
       "Date                                         \n",
       "2013-01-01  1266.95  1267.9  1260.00  1264.15\n",
       "2013-01-02  1267.00  1272.4  1255.55  1263.30\n",
       "2013-01-03  1265.00  1284.0  1259.95  1280.60\n",
       "2013-01-04  1285.00  1301.0  1280.90  1299.20\n",
       "2013-01-07  1300.00  1304.0  1290.25  1294.85"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 弃用一些字段\n",
    "drop_columns = ['Last','Total Trade Quantity','Turnover (Lacs)']\n",
    "df = df.drop(drop_columns,axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                Open     High       Low     Close\n",
      "Date                                             \n",
      "2013-01-01  0.126695  0.12679  0.126000  0.126415\n",
      "2013-01-02  0.126700  0.12724  0.125555  0.126330\n",
      "2013-01-03  0.126500  0.12840  0.125995  0.128060\n",
      "2013-01-04  0.128500  0.13010  0.128090  0.129920\n",
      "2013-01-07  0.130000  0.13040  0.129025  0.129485\n"
     ]
    }
   ],
   "source": [
    "df['High'] = df['High'] / 10000\n",
    "df['Open'] = df['Open'] / 10000\n",
    "df['Low'] = df['Low'] / 10000\n",
    "df['Close'] = df['Close'] / 10000\n",
    "print(df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\SoftDir\\Anaconda\\lib\\site-packages\\ipykernel_launcher.py:2: FutureWarning: Method .as_matrix will be removed in a future version. Use .values instead.\n",
      "  \n"
     ]
    }
   ],
   "source": [
    "# 将dataframe 转化为 array\n",
    "data = df.as_matrix()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train (1060, 5, 4)\n",
      "y_train (1060,)\n",
      "X_test (265, 5, 4)\n",
      "y_test (265,)\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from pandas import datetime\n",
    "import math\n",
    "import itertools\n",
    "from sklearn import preprocessing\n",
    "import datetime\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from math import sqrt\n",
    "\n",
    "# 1 : 数据切分\n",
    "result = []\n",
    "time_steps = 6\n",
    "\n",
    "\n",
    "for i in range(len(data)-time_steps):\n",
    "    result.append(data[i:i+time_steps])\n",
    "\n",
    "result = np.array(result)\n",
    "\n",
    "\n",
    "# 训练集和测试集的数据量划分\n",
    "train_size = int(0.8*len(result))\n",
    "\n",
    "# 训练集切分\n",
    "train = result[:train_size,:]\n",
    "\n",
    "x_train = train[:, :-1]\n",
    "y_train = train[:, -1][:,-1]\n",
    "   \n",
    "x_test = result[train_size:,:-1]\n",
    "y_test = result[train_size:,-1][:,-1]\n",
    "\n",
    "feature_nums = len(df.columns)\n",
    "\n",
    "# 数据重塑\n",
    "x_train = x_train.reshape(x_train.shape[0],x_train.shape[1],x_train.shape[2])\n",
    "x_test = x_test.reshape(x_test.shape[0],x_test.shape[1],x_test.shape[2])\n",
    "\n",
    "print(\"X_train\", x_train.shape)\n",
    "print(\"y_train\", y_train.shape)\n",
    "print(\"X_test\", x_test.shape)\n",
    "print(\"y_test\", y_test.shape)\n",
    "\n",
    " # 举例：用前5行数据，预测第6行的最后一个数据\n",
    "# train\n",
    " #[[[0.126695 0.12679  0.126    0.126415]\n",
    "#   [0.1267   0.12724  0.125555 0.12633 ]\n",
    "#   [0.1265   0.1284   0.125995 0.12806 ]\n",
    "#   [0.1285   0.1301   0.12809  0.12992 ]\n",
    "#   [0.13     0.1304   0.129025 0.129485]\n",
    "#   [0.1295   0.13043  0.12943  0.130025]]\n",
    "\n",
    "# x_train\n",
    "# [[[0.126695 0.12679  0.126    0.126415]\n",
    "#   [0.1267   0.12724  0.125555 0.12633 ]\n",
    "#   [0.1265   0.1284   0.125995 0.12806 ]\n",
    "#   [0.1285   0.1301   0.12809  0.12992 ]\n",
    "#   [0.13     0.1304   0.129025 0.129485]]\n",
    "\n",
    "# y_train\n",
    "#[0.130025]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "lstm_5 (LSTM)                (None, 5, 128)            68096     \n",
      "_________________________________________________________________\n",
      "lstm_6 (LSTM)                (None, 32)                20608     \n",
      "_________________________________________________________________\n",
      "dropout_3 (Dropout)          (None, 32)                0         \n",
      "_________________________________________________________________\n",
      "dense_3 (Dense)              (None, 16)                528       \n",
      "_________________________________________________________________\n",
      "dropout_4 (Dropout)          (None, 16)                0         \n",
      "_________________________________________________________________\n",
      "dense_4 (Dense)              (None, 1)                 17        \n",
      "=================================================================\n",
      "Total params: 89,249\n",
      "Trainable params: 89,249\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "from __future__ import print_function\n",
    "import math\n",
    "#importing keras modules\n",
    "from keras.models import Sequential\n",
    "from keras.layers import Dense, Activation ,Dropout , Flatten , Conv1D , MaxPooling1D\n",
    "from keras.layers.recurrent import LSTM\n",
    "from keras import losses\n",
    "from keras import optimizers\n",
    "\n",
    "def build_model(input):\n",
    "        model = Sequential()\n",
    "        model.add(LSTM(128, input_shape=(input[0], input[1]), return_sequences=True))\n",
    "        model.add(LSTM(32, input_shape=(input[0], input[1]), return_sequences=False))\n",
    "        model.add(Dropout(0.2))\n",
    "        model.add(Dense(16, activation=\"relu\", kernel_initializer=\"uniform\"))\n",
    "        model.add(Dropout(0.2))\n",
    "        model.add(Dense(1, activation=\"relu\", kernel_initializer=\"uniform\"))\n",
    "        model.compile(loss='mse',optimizer='adam',metrics=['mae'])\n",
    "        return model\n",
    "              \n",
    "model = build_model([5,4,1])\n",
    "#Summary of the Model\n",
    "print(model.summary())\n",
    "              \n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:From C:\\SoftDir\\Anaconda\\lib\\site-packages\\tensorflow\\python\\ops\\math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Use tf.cast instead.\n",
      "Train on 848 samples, validate on 212 samples\n",
      "Epoch 1/35\n",
      " - 1s - loss: 0.0492 - mean_absolute_error: 0.2184 - val_loss: 0.0517 - val_mean_absolute_error: 0.2271\n",
      "Epoch 2/35\n",
      " - 0s - loss: 0.0421 - mean_absolute_error: 0.2014 - val_loss: 0.0403 - val_mean_absolute_error: 0.2003\n",
      "Epoch 3/35\n",
      " - 0s - loss: 0.0273 - mean_absolute_error: 0.1605 - val_loss: 0.0154 - val_mean_absolute_error: 0.1237\n",
      "Epoch 4/35\n",
      " - 0s - loss: 0.0059 - mean_absolute_error: 0.0648 - val_loss: 0.0033 - val_mean_absolute_error: 0.0569\n",
      "Epoch 5/35\n",
      " - 0s - loss: 0.0054 - mean_absolute_error: 0.0603 - val_loss: 3.5093e-04 - val_mean_absolute_error: 0.0163\n",
      "Epoch 6/35\n",
      " - 0s - loss: 0.0026 - mean_absolute_error: 0.0414 - val_loss: 0.0028 - val_mean_absolute_error: 0.0522\n",
      "Epoch 7/35\n",
      " - 0s - loss: 0.0027 - mean_absolute_error: 0.0423 - val_loss: 5.2541e-04 - val_mean_absolute_error: 0.0206\n",
      "Epoch 8/35\n",
      " - 0s - loss: 0.0020 - mean_absolute_error: 0.0367 - val_loss: 1.1027e-04 - val_mean_absolute_error: 0.0083\n",
      "Epoch 9/35\n",
      " - 0s - loss: 0.0020 - mean_absolute_error: 0.0355 - val_loss: 4.6429e-04 - val_mean_absolute_error: 0.0192\n",
      "Epoch 10/35\n",
      " - 0s - loss: 0.0020 - mean_absolute_error: 0.0357 - val_loss: 6.6106e-04 - val_mean_absolute_error: 0.0236\n",
      "Epoch 11/35\n",
      " - 0s - loss: 0.0018 - mean_absolute_error: 0.0345 - val_loss: 2.3267e-04 - val_mean_absolute_error: 0.0128\n",
      "Epoch 12/35\n",
      " - 0s - loss: 0.0019 - mean_absolute_error: 0.0350 - val_loss: 1.7230e-04 - val_mean_absolute_error: 0.0108\n",
      "Epoch 13/35\n",
      " - 0s - loss: 0.0016 - mean_absolute_error: 0.0324 - val_loss: 3.7158e-04 - val_mean_absolute_error: 0.0170\n",
      "Epoch 14/35\n",
      " - 0s - loss: 0.0016 - mean_absolute_error: 0.0325 - val_loss: 2.7483e-04 - val_mean_absolute_error: 0.0143\n",
      "Epoch 15/35\n",
      " - 0s - loss: 0.0016 - mean_absolute_error: 0.0325 - val_loss: 2.6966e-04 - val_mean_absolute_error: 0.0142\n",
      "Epoch 16/35\n",
      " - 0s - loss: 0.0015 - mean_absolute_error: 0.0312 - val_loss: 2.4596e-04 - val_mean_absolute_error: 0.0135\n",
      "Epoch 17/35\n",
      " - 0s - loss: 0.0016 - mean_absolute_error: 0.0332 - val_loss: 2.9165e-04 - val_mean_absolute_error: 0.0149\n",
      "Epoch 18/35\n",
      " - 0s - loss: 0.0015 - mean_absolute_error: 0.0321 - val_loss: 1.6144e-04 - val_mean_absolute_error: 0.0106\n",
      "Epoch 19/35\n",
      " - 0s - loss: 0.0014 - mean_absolute_error: 0.0304 - val_loss: 2.2934e-04 - val_mean_absolute_error: 0.0131\n",
      "Epoch 20/35\n",
      " - 0s - loss: 0.0014 - mean_absolute_error: 0.0302 - val_loss: 1.3205e-04 - val_mean_absolute_error: 0.0095\n",
      "Epoch 21/35\n",
      " - 0s - loss: 0.0013 - mean_absolute_error: 0.0293 - val_loss: 1.7865e-04 - val_mean_absolute_error: 0.0114\n",
      "Epoch 22/35\n",
      " - 0s - loss: 0.0013 - mean_absolute_error: 0.0289 - val_loss: 1.7477e-04 - val_mean_absolute_error: 0.0113\n",
      "Epoch 23/35\n",
      " - 0s - loss: 0.0012 - mean_absolute_error: 0.0284 - val_loss: 2.0532e-04 - val_mean_absolute_error: 0.0125\n",
      "Epoch 24/35\n",
      " - 0s - loss: 0.0012 - mean_absolute_error: 0.0279 - val_loss: 9.6081e-05 - val_mean_absolute_error: 0.0081\n",
      "Epoch 25/35\n",
      " - 0s - loss: 0.0011 - mean_absolute_error: 0.0265 - val_loss: 2.2472e-04 - val_mean_absolute_error: 0.0133\n",
      "Epoch 26/35\n",
      " - 0s - loss: 0.0011 - mean_absolute_error: 0.0269 - val_loss: 1.5091e-04 - val_mean_absolute_error: 0.0106\n",
      "Epoch 27/35\n",
      " - 0s - loss: 0.0011 - mean_absolute_error: 0.0256 - val_loss: 9.0025e-05 - val_mean_absolute_error: 0.0079\n",
      "Epoch 28/35\n",
      " - 0s - loss: 0.0010 - mean_absolute_error: 0.0256 - val_loss: 6.5940e-05 - val_mean_absolute_error: 0.0066\n",
      "Epoch 29/35\n",
      " - 0s - loss: 9.1353e-04 - mean_absolute_error: 0.0240 - val_loss: 1.2159e-04 - val_mean_absolute_error: 0.0095\n",
      "Epoch 30/35\n",
      " - 0s - loss: 0.0010 - mean_absolute_error: 0.0249 - val_loss: 9.3727e-05 - val_mean_absolute_error: 0.0082\n",
      "Epoch 31/35\n",
      " - 0s - loss: 8.8125e-04 - mean_absolute_error: 0.0232 - val_loss: 5.7372e-05 - val_mean_absolute_error: 0.0061\n",
      "Epoch 32/35\n",
      " - 0s - loss: 9.1925e-04 - mean_absolute_error: 0.0238 - val_loss: 5.3129e-05 - val_mean_absolute_error: 0.0058\n",
      "Epoch 33/35\n",
      " - 0s - loss: 9.0804e-04 - mean_absolute_error: 0.0237 - val_loss: 1.4373e-04 - val_mean_absolute_error: 0.0106\n",
      "Epoch 34/35\n",
      " - 0s - loss: 9.6562e-04 - mean_absolute_error: 0.0240 - val_loss: 4.5155e-05 - val_mean_absolute_error: 0.0052\n",
      "Epoch 35/35\n",
      " - 0s - loss: 9.7200e-04 - mean_absolute_error: 0.0244 - val_loss: 1.1705e-04 - val_mean_absolute_error: 0.0093\n",
      "4.7611172173913054\n"
     ]
    }
   ],
   "source": [
    "from timeit import default_timer as timer\n",
    "start = timer()\n",
    "history = model.fit(x_train,\n",
    "                    y_train,\n",
    "                    batch_size=128,\n",
    "                    epochs=35,\n",
    "                    validation_split=0.2,\n",
    "                    verbose=2)\n",
    "end = timer()\n",
    "print(end - start)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['val_loss', 'val_mean_absolute_error', 'loss', 'mean_absolute_error'])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 返回history\n",
    "history_dict = history.history\n",
    "history_dict.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出训练集和验证集的损失曲线\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "loss_values = history_dict['loss']\n",
    "val_loss_values = history_dict['val_loss']\n",
    "loss_values50 = loss_values[0:150]\n",
    "val_loss_values50 = val_loss_values[0:150]\n",
    "epochs = range(1, len(loss_values50) + 1)\n",
    "plt.plot(epochs, loss_values50, 'b',color = 'blue', label='Training loss')\n",
    "plt.plot(epochs, val_loss_values50, 'b',color='red', label='Validation loss')\n",
    "plt.rc('font', size = 18)\n",
    "plt.title('Training and validation loss')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Loss')\n",
    "plt.legend()\n",
    "plt.xticks(epochs)\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15,7)\n",
    "#fig.savefig('img/tcstest&validationlosscnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出训练集和验证集的误差图像\n",
    "\n",
    "mae = history_dict['mean_absolute_error']\n",
    "vmae = history_dict['val_mean_absolute_error']\n",
    "epochs = range(1, len(mae) + 1)\n",
    "plt.plot(epochs, mae, 'b',color = 'blue', label='Training error')\n",
    "plt.plot(epochs, vmae, 'b',color='red', label='Validation error')\n",
    "plt.title('Training and validation error')\n",
    "plt.xlabel('Epochs')\n",
    "plt.ylabel('Error')\n",
    "plt.legend()\n",
    "plt.xticks(epochs)\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15,7)\n",
    "#fig.savefig('img/tcstest&validationerrorcnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['loss', 'mean_absolute_error']"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.metrics_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainScore = model.evaluate(x_train, y_train, verbose=0)\n",
    "testScore = model.evaluate(x_test, y_test, verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "#predicting values for y_test\n",
    "p = model.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(p,color='red', label='prediction')\n",
    "plt.plot(y_test,color='blue', label='y_test')\n",
    "plt.xlabel('No. of Trading Days')\n",
    "plt.ylabel('Close Value (scaled)')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(15, 5)\n",
    "#fig.savefig('img/tcstestcnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "p1= model.predict(x_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(p1[:848],color='red', label='prediction on training samples')\n",
    "x = np.array(range(848,1060))\n",
    "plt.plot(x,p1[848:],color = 'magenta',label ='prediction on validating samples')\n",
    "plt.plot(y_train,color='blue', label='y_train')\n",
    "plt.xlabel('No. of Trading Days')\n",
    "plt.ylabel('Close Value (scaled)')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(20,10)\n",
    "#fig.savefig('img/tcstraincnn.png', dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = y_test * 10000  # 原始数据经过除以10000进行缩放，因此乘以10000,返回到原始数据规模\n",
    "y_pred = p.reshape(265)  # 测试集数据大小为265\n",
    "y_pred = y_pred * 10000  # 原始数据经过除以10000进行缩放，因此乘以10000,返回到原始数据规模"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import mean_absolute_error"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Trainscore RMSE \tTrain Mean abs Error \tTestscore Rmse \t Test Mean abs Error\n",
      "0.010444042 \t\t 0.008804569 \t\t 0.015058810 \t\t 0.012934401\n"
     ]
    }
   ],
   "source": [
    "print('Trainscore RMSE \\tTrain Mean abs Error \\tTestscore Rmse \\t Test Mean abs Error')\n",
    "print('%.9f \\t\\t %.9f \\t\\t %.9f \\t\\t %.9f' % (math.sqrt(trainScore[0]),trainScore[1],math.sqrt(testScore[0]),testScore[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean absolute error \t mean absolute percentage error\n",
      " 129.344014225 \t\t\t 4.669007667\n"
     ]
    }
   ],
   "source": [
    "print('mean absolute error \\t mean absolute percentage error')\n",
    "print(' %.9f \\t\\t\\t %.9f' % (mean_absolute_error(y,y_pred),(np.mean(np.abs((y - y_pred) / y)) * 100)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Y = np.concatenate((y_train,y_test),axis = 0)\n",
    "P = np.concatenate((p1,p),axis = 0)\n",
    "#plotting the complete Y set with predicted values on x_train and x_test(variable p1 & p respectively given above)\n",
    "#for \n",
    "plt.plot(P[:848],color='red', label='prediction on training samples')\n",
    "#for validating samples\n",
    "z = np.array(range(848,1060))\n",
    "plt.plot(z,P[848:1060],color = 'black',label ='prediction on validating samples')\n",
    "#for testing samples\n",
    "x = np.array(range(1060,1325))\n",
    "plt.plot(x,P[1060:],color = 'green',label ='prediction on testing samples(x_test)')\n",
    "\n",
    "plt.plot(Y,color='blue', label='Y')\n",
    "plt.legend(loc='upper left')\n",
    "fig = plt.gcf()\n",
    "fig.set_size_inches(20,12)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
